| Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections Z Bai, P Hao, W Shangguan, B Cai, MJ Barth IEEE Transactions on Intelligent Transportation Systems 23 (9), 15850-15863, 2022 | 76 | 2022 |
| Deep reinforcement learning based high-level driving behavior decision-making model in heterogeneous traffic Z Bai, W Shangguan, B Cai, L Chai 2019 Chinese Control Conference (CCC), 8600-8605, 2019 | 44 | 2019 |
| Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJB Barth 2022 IEEE Intelligent Vehicles Symposium (IV), 1366-1373, 2022 | 42 | 2022 |
| PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR Z Bai, G Wu, MJ Barth, Y Liu, A Sisbot, K Oguchi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 39 | 2022 |
| Deep learning based motion planning for autonomous vehicle using spatiotemporal LSTM network Z Bai, B Cai, W ShangGuan, L Chai 2018 Chinese Automation Congress (CAC), 1610-1614, 2018 | 38 | 2018 |
| Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR Z Bai, SP Nayak, X Zhao, G Wu, MJ Barth, X Qi, Y Liu, K Oguchi IEEE Transactions on Intelligent Transportation Systems, 2023 | 23* | 2023 |
| A survey and framework of cooperative perception: From heterogeneous singleton to hierarchical cooperation Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi, Z Huang arXiv preprint arXiv:2208.10590, 2022 | 13 | 2022 |
| Cyber mobility mirror for enabling cooperative driving automation in mixed traffic: A co-simulation platform Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJ Barth IEEE Intelligent Transportation Systems Magazine 15 (2), 251-265, 2022 | 12* | 2022 |
| VINet: Lightweight, scalable, and heterogeneous cooperative perception for 3D object detection Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi Mechanical Systems and Signal Processing 204, 110723, 2023 | 11 | 2023 |
| Developing an adaptive strategy for connected eco-driving under uncertain traffic and signal conditions P Hao, Z Wei, Z Bai, MJ Barth | 5 | 2020 |
| Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud Z Wei, X Qi, Z Bai, G Wu, S Nayak, P Hao, M Barth, Y Liu, K Oguchi 2022 IEEE Intelligent Vehicles Symposium (IV), 2022 | 1 | 2022 |
| Pillar Attention Encoder for Adaptive Cooperative Perception Z Bai, G Wu, MJ Barth, H Qiu, Y Liu, EA Sisbot, K Oguchi IEEE Internet of Things Journal, 2024 | | 2024 |
| Dynamic Feature Sharing for Cooperative Perception from Point Clouds Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Object Perception Framework for Connected and Automated Vehicles: A Case Study Z Bai, JG Escobar, G Wu, MJ Barth 2023 IEEE Transportation Electrification Conference & Expo (ITEC), 1-5, 2023 | | 2023 |
| Developing an Adaptive Strategy for Connected Eco-Driving Under Uncertain Traffic and P Hao, Z Wei, Z Bai | | 2020 |
| Speed Trajectory Data from Adaptive Eco-Driving Applications [supporting datasets] P Hao, Z Wei, Z Bai, MJ Barth National Center for Sustainable Transportation, 2019 | | 2019 |
Matthew J BarthUniversity of California, RiversideVerified email at ece.ucr.edu
